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Statistical mechanics meets single-cell biology
Nature Reviews Genetics ( IF 39.1 ) Pub Date : 2021-04-19 , DOI: 10.1038/s41576-021-00341-z
Andrew E Teschendorff 1, 2 , Andrew P Feinberg 3, 4, 5
Affiliation  

Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from statistical mechanics, notably entropy, stochastic processes and critical phenomena, are having on single-cell data analysis. We further advocate the need for more bottom-up modelling of single-cell data and to embrace a statistical mechanics analysis paradigm to help attain a deeper understanding of single-cell systems biology.



中文翻译:

统计力学遇上单细胞生物学

单细胞组学正在改变我们对细胞生物学和疾病的理解,但单细胞数据的系统级分析和解释面临许多挑战。在这篇《观点》中,我们描述了统计力学的基本概念,尤其是熵、随机过程和临界现象,对单细胞数据分析的影响。我们进一步提倡需要对单细胞数据进行更多自下而上的建模,并采用统计力学分析范式,以帮助更深入地了解单细胞系统生物学。

更新日期:2021-04-19
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